How do I install the NuGet package for MCP support in Azure Functions?
Run `dotnet add package Microsoft.Azure.Functions.Worker.Extensions.Mcp --version 1.0.0-preview.2` to add the preview extension.
@0GiS0
基本情報
Crea tu servidor MCP con Azure Functions ⚡️🧰
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-server-azure-function": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"http://localhost:7071/runtime/webhooks/mcp/sse"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
Azure Functions ⚡️❤️ MCP Servers is a sample repository that demonstrates how to create Model Context Protocol (MCP) servers using Azure Functions and the preview NuGet package Microsoft.Azure.Functions.Worker.Extensions.Mcp. It is designed for developers who want to integrate Azure Functions with MCP and use those servers with GitHub Copilot Chat's agent mode.
Install the NuGet package (dotnet add package Microsoft.Azure.Functions.Worker.Extensions.Mcp --version 1.0.0-preview.2). Run the project locally with func start. Test it using MCP Inspector (npx @modelcontextprotocol/inspector http://localhost:7071/runtime/webhooks/mcp/sse). Configure GitHub Copilot Chat by adding an MCP server entry in .vscode/mcp.json or .vscode/settings.json, using either a local endpoint or a remote Azure Functions URL with the function key. Optionally deploy the function to Azure using the Terraform scripts in the infra directory after creating a terraform.tfvars file with your subscription ID and YouTube API key.
Microsoft.Azure.Functions.Worker.Extensions.Mcp.func start.Run `dotnet add package Microsoft.Azure.Functions.Worker.Extensions.Mcp --version 1.0.0-preview.2` to add the preview extension.
Start the Azure Functions runtime with `func start`, then use `npx @modelcontextprotocol/inspector http://localhost:7071/runtime/webhooks/mcp/sse` to open the MCP inspector.
Create a `.vscode/mcp.json` file with a server entry of type `sse`, pointing to the local or remote URL, and optionally use `inputs` for sensitive values like the function key.
Use the Terraform scripts inside the `infra` folder. After creating a `terraform.tfvars` file with `subscription_id` and `youtube_api_key`, run `terraform init` and `terraform apply`. Then deploy the code using Visual Studio Code or another method.
The server uses SSE (Server-Sent Events) transport. Remote access uses the Azure Functions host key as an authentication header (`x-functions-key`).

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